Data Governance for Asset Management & Safety:

Transcription

1 Data Governance for Asset Management & Safety: An Integrated Approach at CTDOT Karen Riemer CTDOT Transportation Asset Management Group Frances Harrison Spy Pond Partners, LLC

2 Data Governance Timeline Transportation Enterprise Database Proof of Concept Safety Data Integration Workshop Roadway Dara Improvement Program Data Governance Workshop

3 Vision Statement For CTDOT s Transportation Enterprise Database Create an accessible transportation safety and asset data enterprise system where authoritative data sets are managed by data stewards and formatted for consumption and analysis in a manner that allows stakeholders to use tools that are both effective and meet their business needs.

4 Asset Management Safety Parallel Paths Coming Together TAMP Safety Analysis Bridge & Pavement Targets Safety Targets MIRE (Model Inventory Of Roadway Elements

5 Prioritization of Asset Data Asset Management (2018 TAMP) Bridges: Pavements: Traffic Signals: Signs: Sign Supports: Pavement Markings: Safety Analysis Horizontal and vertical curves Intersections AADT Pavement Condition Signals Signs Passing Zones Speed Limits Illumination Guiderail

6 Other Requirements Driving Asset Prioritization Curb Ramps Guiderail ADA Transition Plan Americans with Disabilities Act (ADA) MASH Implementation Plan Manual for Assessing Safety Hardware Drainage MS4 Implementation Plan Municipal Separate Storm Sewer System Illumination 811 Call Before You Dig

7 Readiness Assessments Asset Definition & Identification Asset Data Requirements Data Ownership and Stewardship Data Collection, Storage and Updating Derivative Data Set Creation and Management Asset Work History Tracking Data Access Points Additional Notes Completed for: Pavement Bridge Traffic Signals Guiderails Signs Sign Supports Pavement Markings Highway Lighting

8 Readiness Assessment Process Coordinated/led by Asset Management Group Working session with asset steward to complete a draft (1-2 hour process) Asset steward reviews with asset work group and makes updates Form provided to Asset Management Updates can be made at any time but anticipate cycle aligned with TAMP

9 Readiness Assessment Elements Asset Definition & Identification Definition of the Asset Units of Measure Asset Components (if applicable) Unique ID

10 Readiness Assessment Elements Asset Data Requirements Primary internal and external data users Scope of asset data (e.g. state system) Business decisions to be made based on data What will more data enable CTDOT to do? Data needed to meet state or federal requirement? Type of data requirements: asset location, inventory, condition, condition history, work history (current and future) Data dictionary status and location

11 Readiness Assessment Elements Data Ownership & Stewardship Contacts for: Answering questions about data meaning, derivation, quality Approving changes to data structure or coding Granting access to the data

12 Readiness Assessment Elements Data Collection, Storage & Updating Who collects data and how? Is there a Quality Management Plan? Asset location management: feature type, location referencing method, LRS synchronization approach Authoritative source system Updating methods Desired technology solutions

13 Readiness Assessment Elements Derivative Data Sources Name/description Refresh cycle Update method Update responsibility Data dictionary

14 Readiness Assessment Elements Work History Tracking Status (is work history tracked?) Type of data currently tracked (asset ID, work type, quantity, cost, other) Sources used (capital projects, maintenance, developer work, etc.) Desired types of data to track in the future Data Access Points Current/Intended access points for internal + external users

15 Readiness Assessment - Lessons Learned Provides: Structured way to think through the data life cycle Common yardstick for looking at asset data maturity across areas Opportunity to move towards common solutions Important to define terms Useful to cover data flows/lineage Need for integrated approach with tactical data readiness assessment & metadata population for data warehouse

16 Data Governance What It Is: A process for managing, improving, maintaining, and providing access to business information for a broad range of use purposes. It is also a system of rights and responsibilities that describe the who, what, when and under what circumstances data can be managed and used as a collective asset within an agency Why We Need It Ensures enterprise data consistency, reliability, and repeatability Provides standards for data capture, storage, maintenance, security and accessibility Provides clarity and confidence in the quality of data being published How Is It Organized Within CTDOT Periodic briefings of Executive Team by the Data Governance Council that meets monthly Data Governance Guidance issued as needed

17 Data Governance Structure Data Governance Council Executive Oversight Data Owners Data Stewards

18 Data Governance Council Members Policy and Planning (Chairperson) Engineering & Construction Asset Management Office of State Traffic Administration Information Technology Safety Management Finance & Administration Maintenance Public Transportation Consultants (Facilitators)

19 Function of Data Governance Council Prioritize safety and asset data governance solutions to provide the foundational tools necessary to expand enterprise data participation across all disciplines within the agency. Identify data being collected and maintained agency wide. Document data standards and coordinate development of new standards. Develop guidance for data dictionaries, user manuals, and training programs. Establish quality control/quality assurance (QC/QA) processes. Facilitate the integration and interoperability of information between authoritative roadway inventory databases and the Department s enterprise wide data system. Identify and inform the Executive Committee of emerging data priorities and how they best might be addressed Report to the Executive Committee as needed to make recommendations regarding data governance challenges or technology opportunities.

20 Data Governance Executive Oversight Committee Members Bureau Chiefs from each Agency Bureau Chaired by the Chief of Staff Manager of Technology and Business Systems Participates 20

21 Function of Data Governance Executive Oversight Committee Provide guidance and help secure resources to support all strategic transportation data enterprise planning activities including regular review of data management practices and tools, and development of policies and procedures. 21

22 Data Owners Has supervisory, administrative, and technical control over an information asset dataset. Responsible for the oversight of the collection, storage, maintenance, and implementation of business rules / managing its use including rules for how data will be exposed for general public consumption. Ensures access to the data asset is authorized and controlled 22

23 Data Stewards responsible for the management of data assets on a day to day basis in terms of content, update and data extract processes, data migration to TED and for the development of metadata. ensures that: there are documents highlighting the origin and sources of authoritative data and completes each metadata element; data has a collection and a maintenance cycle defined; data quality processes are in place data is protected against unauthorized access or change. 23

24 Data Stewards A Data Steward role differs than that of an Asset Steward who: Is a Champion for the Asset; Develops, implements, and regularly updates an Asset Program Plan; Serve as the Asset s Point of Contact to the Asset Management Group; Compiles and submits Performance Measure Data on the Asset; 24

25 Data Catalog for TED 25

26 Meta Data for TED 26

27 Data Governance Guidance Memoranda Definition of Data Assets; Assignment of Asset Data Owners and Stewards Roles and Responsibilities of Asset Data Owners and Asset Data Stewards in the TED System Metadata Requirements for Asset Data Owner and Asset Data Stewards Asset Data Requirements for Transportation Enterprise Data (TED) Warehouse

28 Data Governance Challenges Determining the data that will be Public-Facing Addressing Data Quality Keeping meta data updated, maintaining TED and removing obsolete data

29 Data Governance Successes Decision making together as a group. Established authoritative data sources. Meta data standards.